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AI for students lesson 23: Design a tiny AI project · Set 391 · 40 questions
TalentJR

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

NameDateTime takenScore ___ / 40
  1. 1.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
  2. 2.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  3. 3.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
  4. 4.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  5. 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
  6. 6.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  7. 7.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  8. 8.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  9. 9.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  11. 11.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  12. 12.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  13. 13.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  14. 14.📦 Kabir collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  15. 15.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
  16. 16.❌ Kabir’s recycling sorter was tested on 39 new waste photos and got 38 right. How many did it get wrong?
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
  18. 18.🎯 Ananya’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?
  19. 19.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  20. 20.📦 Ananya collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  22. 22.❌ Aarav’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
  23. 23.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  24. 24.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
  25. 25.🎯 Saanvi’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  26. 26.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
  28. 28.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  29. 29.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
  30. 30.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  31. 31.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  32. 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  33. 33.📦 Vihaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  37. 37.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
  39. 39.❌ Diya’s spam spotter was tested on 29 new messages and got 27 right. How many did it get wrong?
  40. 40.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label

Answer key

  1. choose what to sort
  2. try unseen examples
  3. 56
  4. correct ÷ total × 100
  5. paper and examples
  6. 10
  7. try unseen examples
  8. work out the accuracy
  9. pick a question to solve
  10. to see if it learned
  11. 60
  12. calculate percent right
  13. 10
  14. 120
  15. tag each photo by type
  16. 1
  17. set aside test photos
  18. 70
  19. 80
  20. 152
  21. test on new photos
  22. 2
  23. 15
  24. 64
  25. 60
  26. test on new photos
  27. more labelled examples
  28. 112
  29. choose what to sort
  30. try unseen examples
  31. 50
  32. 20
  33. 128
  34. 100
  35. let it learn patterns
  36. 30
  37. 56
  38. choose what to sort
  39. 2
  40. recheck every label

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students